Paper Citation Record · LEDGER

All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2503.03965.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.03965 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:41:12.048881Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T16:17:09.016872Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f33c0c86-d81d-49bc-9d15-b08d5268c8f8 · inbound

Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment cites this paper.

Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:12.048881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10ee9175-e9a0-4269-8ed8-6175439fdda2 · inbound

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality cites this paper.

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:12:00.153303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b0c055-011a-447b-ac17-020406719091 · inbound

TopoMAS: Large Language Model Driven Topological Materials Multiagent System cites this paper.

TopoMAS: Large Language Model Driven Topological Materials Multiagent System All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:30.987305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34b5b01c-ea37-47bd-83dc-43e64c93f862 · inbound

Platonic Transformers: A Solid Choice For Equivariance cites this paper.

Platonic Transformers: A Solid Choice For Equivariance All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T12:27:30.741497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd4eb397-571f-4f21-935e-023de644506f · inbound

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation cites this paper.

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T11:28:56.443439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6b350a-9ab0-462f-9e09-3f73c0555274 · inbound

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation cites this paper.

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T21:42:03.466285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dec7ba3-106e-4be3-86f8-dc8c3fac1047 · inbound

How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science cites this paper.

How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T03:08:28.959464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 923aaea2-111b-4a7e-a609-7ccfd1f6edb2 · inbound

Offline Materials Optimization with CliqueFlowmer cites this paper.

Offline Materials Optimization with CliqueFlowmer All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:36:13.252773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 293cac26-5b29-4353-a1a4-f58792b75e9c · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:39:26.401259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 370229e8-5d0e-4731-b80e-6a33001d3cdb · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:55:03.199295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38e40560-81fc-42c0-baf3-2f048217b18a · inbound

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation cites this paper.

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:52:40.107998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation edfa9e0c-52f9-4b59-beda-69e77d20f51a · inbound

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement cites this paper.

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:35:46.633456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25aa4244-3480-4558-88ec-7305257f65ef · inbound

Composable Crystals: Controllable Materials Discovery via Concept Learning cites this paper.

Composable Crystals: Controllable Materials Discovery via Concept Learning All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:55:05.873860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d321265c-b11f-42c6-8173-fa7d15bf83a8 · inbound

Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport cites this paper.

Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:09.018693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 873b761c-525c-418d-b83c-c5a38b000b7d · inbound

Surrogate-Gated Generation and Foundation-Model Embeddings for Bayesian Materials Design cites this paper.

Surrogate-Gated Generation and Foundation-Model Embeddings for Bayesian Materials Design All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:34:05.264453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f80a245-c8cf-42e4-b7ee-079eddbcb502 · inbound

Spectral Diffusion for Protein Dynamics cites this paper.

Spectral Diffusion for Protein Dynamics All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-11T21:27:22.768274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407a6a35-7a37-4de7-86fd-0876c8afd4f1 · inbound

Design-CP: Context Parallelism for Design of Protein Nanoparticles cites this paper.

Design-CP: Context Parallelism for Design of Protein Nanoparticles All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-12T02:29:52.764344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732ea9d8-f790-419a-83c6-d5dc46d6b52a · inbound

Symbolic Predicate-Guided Language Agents for Inverse Design of Perovskite Oxides cites this paper.

Symbolic Predicate-Guided Language Agents for Inverse Design of Perovskite Oxides All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T23:05:29.808389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.